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EN 1.0.0-M2
Deeplearning4j Suite Overview
Release Notes
1.0.0-M2
1.0.0-M1.1
1.0.0-M1
1.0.0-beta7
1.0.0-beta6
1.0.0-beta5
1.0.0-beta4
1.0.0-beta3
1.0.0-beta2
1.0.0-beta
1.0.0-alpha
0.9.1
0.9.0
0.8.0
0.7.2
0.7.1
0.7.0
0.6.0
0.5.0
0.4.0
1.00-M2.2
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0.7.2
  • Added variational autoencoder Link​
  • Activation function refactor
    • Activation functions are now an interface Link​
    • Configuration now via enumeration, not via String (see examples - Link)
    • Custom activation functions now supported Link​
    • New activation functions added: hard sigmoid, randomized leaky rectified linear units (RReLU)
  • Multiple fixes/improvements for Keras model import
  • Added P-norm pooling for CNNs (option as part of SubsamplingLayer configuration)
  • Iteration count persistence: stored/persisted properly in model configuration + fixes to learning rate schedules for Spark network training
  • LSTM: gate activation function can now be configured (previously: hard-coded to sigmoid)
  • UI:
    • Added Chinese translation
    • Fixes for UI + pretrain layers
    • Added Java 7 compatible stats collection compatibility Link​
    • Improvements in front-end for handling NaNs
    • Added UIServer.stop() method
    • Fixed score vs. iteration moving average line (with subsampling)
  • Solved Jaxb/Jackson issue with Spring Boot based applications
  • RecordReaderDataSetIterator now supports NDArrayWritable for the labels (set regression == true; used for multi-label classification + images, etc)

0.7.1 -> 0.7.2 Transition Notes

  • Activation functions (built-in): now specified using Activation enumeration, not String (String-based configuration has been deprecated)
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0.7.1 -> 0.7.2 Transition Notes